Embedded Reasoning: Intelligence in Embedded Systems

Papers from the AAAI Spring Symposium

The AAAI Embedded Reasoning symposium dove into the field of embedded reasoning from a necessarily multidisciplinary perspective, bringing together researchers in artificial intelligence, control systems, robotics, and human machine interaction. Recent advances in the field have been driven by a combination of advances in embedded computing power and the desire to control increasingly complex systems safely, efficiently, and reliably. It incorporates the strengths of AI reasoning — planning, scheduling, controlling, learning, and diagnosing — into physical systems. This advances system capabilities in solving complex tasks, in acting on high-level goals, and in adapting to changing and uncertain states.

From robotics to transportation systems to industrial automation, applications are being revolutionized. The integrated methods by which we approach these problems are rapidly evolving. As illustrated by recent research programs and applications, these emerging capabilities require a tight integration of diverse techniques with a strong multidisciplinary understanding of their relationship. The traditional interfaces of the fields of AI reasoning, control, and human factors are becoming blurred, with control system optimizations running on embedded processors, and artificial intelligence controlling autonomous vehicles.

This symposium discussed challenges, approaches, and solutions for enabling systems of sensors, actuators, and processors to be adaptive, distributed, and robust.